Python | Pandas DatetimeIndex.week
Last Updated :
24 Dec, 2018
Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Pandas DatetimeIndex.week
attribute outputs the ordinal value of the week for each entries of the DatetimeIndex object. It is similar to the DatetimeIndex.week
attribute.
Syntax: DatetimeIndex.week
Return: Index object
Example #1: Use DatetimeIndex.week
attribute to find the ordinal value of the week for each entries in the DatetimeIndex object.
import pandas as pd
didx = pd.DatetimeIndex(start = '2000-01-10 06:30' , freq = 'W' ,
periods = 3 , tz = 'Asia/Calcutta' )
print (didx)
|
Output :
Now we want to find ordinal value of the week for each entries in the DatetimeIndex object.
Output :
As we can see in the output, the function has returned an Index object containing the ordinal values of the weeks present in each entry of the DatetimeIndex object.
Example #2: Use DatetimeIndex.week
attribute to find the ordinal value of the week for each entries in the DatetimeIndex object.
import pandas as pd
didx = pd.DatetimeIndex(start = '2014-08-01 10:05:45' , freq = 'M' ,
periods = 5 , tz = 'Asia/Calcutta' )
print (didx)
|
Output :
Now we want to find ordinal value of the week for each entries in the DatetimeIndex object.
Output :
As we can see in the output, the function has returned an Index object containing the ordinal values of the weeks present in each entry of the DatetimeIndex object.
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